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	### What problem does this PR solve? Unified API response json schema ### Type of change - [x] Refactoring
		
			
				
	
	
		
			184 lines
		
	
	
		
			7.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			184 lines
		
	
	
		
			7.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
#
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#  Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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#  Licensed under the Apache License, Version 2.0 (the "License");
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#  you may not use this file except in compliance with the License.
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#  You may obtain a copy of the License at
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#
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#      http://www.apache.org/licenses/LICENSE-2.0
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#
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#  Unless required by applicable law or agreed to in writing, software
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#  distributed under the License is distributed on an "AS IS" BASIS,
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#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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#  See the License for the specific language governing permissions and
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#  limitations under the License.
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#
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from flask import request
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from flask_login import login_required, current_user
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from api.db.services.dialog_service import DialogService
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from api.db import StatusEnum
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from api.db.services.knowledgebase_service import KnowledgebaseService
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from api.db.services.user_service import TenantService, UserTenantService
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from api.settings import RetCode
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from api.utils.api_utils import server_error_response, get_data_error_result, validate_request
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from api.utils import get_uuid
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from api.utils.api_utils import get_json_result
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@manager.route('/set', methods=['POST'])
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@login_required
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def set_dialog():
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    req = request.json
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    dialog_id = req.get("dialog_id")
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    name = req.get("name", "New Dialog")
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    description = req.get("description", "A helpful Dialog")
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    icon = req.get("icon", "")
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    top_n = req.get("top_n", 6)
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    top_k = req.get("top_k", 1024)
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    rerank_id = req.get("rerank_id", "")
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    if not rerank_id: req["rerank_id"] = ""
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    similarity_threshold = req.get("similarity_threshold", 0.1)
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    vector_similarity_weight = req.get("vector_similarity_weight", 0.3)
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    if vector_similarity_weight is None: vector_similarity_weight = 0.3
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    llm_setting = req.get("llm_setting", {})
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    default_prompt = {
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        "system": """你是一个智能助手,请总结知识库的内容来回答问题,请列举知识库中的数据详细回答。当所有知识库内容都与问题无关时,你的回答必须包括“知识库中未找到您要的答案!”这句话。回答需要考虑聊天历史。
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以下是知识库:
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{knowledge}
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以上是知识库。""",
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        "prologue": "您好,我是您的助手小樱,长得可爱又善良,can I help you?",
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        "parameters": [
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            {"key": "knowledge", "optional": False}
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        ],
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        "empty_response": "Sorry! 知识库中未找到相关内容!"
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    }
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    prompt_config = req.get("prompt_config", default_prompt)
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    if not prompt_config["system"]:
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        prompt_config["system"] = default_prompt["system"]
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    # if len(prompt_config["parameters"]) < 1:
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    #     prompt_config["parameters"] = default_prompt["parameters"]
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    # for p in prompt_config["parameters"]:
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    #     if p["key"] == "knowledge":break
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    # else: prompt_config["parameters"].append(default_prompt["parameters"][0])
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    for p in prompt_config["parameters"]:
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        if p["optional"]:
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            continue
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        if prompt_config["system"].find("{%s}" % p["key"]) < 0:
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            return get_data_error_result(
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                message="Parameter '{}' is not used".format(p["key"]))
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    try:
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        e, tenant = TenantService.get_by_id(current_user.id)
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        if not e:
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            return get_data_error_result(message="Tenant not found!")
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        llm_id = req.get("llm_id", tenant.llm_id)
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        if not dialog_id:
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            if not req.get("kb_ids"):
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                return get_data_error_result(
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                    message="Fail! Please select knowledgebase!")
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            dia = {
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                "id": get_uuid(),
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                "tenant_id": current_user.id,
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                "name": name,
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                "kb_ids": req["kb_ids"],
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                "description": description,
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                "llm_id": llm_id,
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                "llm_setting": llm_setting,
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                "prompt_config": prompt_config,
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                "top_n": top_n,
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                "top_k": top_k,
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                "rerank_id": rerank_id,
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                "similarity_threshold": similarity_threshold,
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                "vector_similarity_weight": vector_similarity_weight,
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                "icon": icon
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            }
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            if not DialogService.save(**dia):
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                return get_data_error_result(message="Fail to new a dialog!")
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            e, dia = DialogService.get_by_id(dia["id"])
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            if not e:
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                return get_data_error_result(message="Fail to new a dialog!")
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            return get_json_result(data=dia.to_json())
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        else:
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            del req["dialog_id"]
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            if "kb_names" in req:
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                del req["kb_names"]
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            if not DialogService.update_by_id(dialog_id, req):
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                return get_data_error_result(message="Dialog not found!")
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            e, dia = DialogService.get_by_id(dialog_id)
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            if not e:
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                return get_data_error_result(message="Fail to update a dialog!")
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            dia = dia.to_dict()
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            dia["kb_ids"], dia["kb_names"] = get_kb_names(dia["kb_ids"])
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            return get_json_result(data=dia)
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    except Exception as e:
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        return server_error_response(e)
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@manager.route('/get', methods=['GET'])
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@login_required
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def get():
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    dialog_id = request.args["dialog_id"]
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    try:
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        e, dia = DialogService.get_by_id(dialog_id)
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        if not e:
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            return get_data_error_result(message="Dialog not found!")
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        dia = dia.to_dict()
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        dia["kb_ids"], dia["kb_names"] = get_kb_names(dia["kb_ids"])
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        return get_json_result(data=dia)
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    except Exception as e:
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        return server_error_response(e)
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def get_kb_names(kb_ids):
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    ids, nms = [], []
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    for kid in kb_ids:
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        e, kb = KnowledgebaseService.get_by_id(kid)
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        if not e or kb.status != StatusEnum.VALID.value:
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            continue
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        ids.append(kid)
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        nms.append(kb.name)
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    return ids, nms
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@manager.route('/list', methods=['GET'])
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@login_required
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def list_dialogs():
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    try:
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        diags = DialogService.query(
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            tenant_id=current_user.id,
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            status=StatusEnum.VALID.value,
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            reverse=True,
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            order_by=DialogService.model.create_time)
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        diags = [d.to_dict() for d in diags]
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        for d in diags:
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            d["kb_ids"], d["kb_names"] = get_kb_names(d["kb_ids"])
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        return get_json_result(data=diags)
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    except Exception as e:
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        return server_error_response(e)
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@manager.route('/rm', methods=['POST'])
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@login_required
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@validate_request("dialog_ids")
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def rm():
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    req = request.json
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    dialog_list=[]
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    tenants = UserTenantService.query(user_id=current_user.id)
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    try:
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        for id in req["dialog_ids"]:
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            for tenant in tenants:
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                if DialogService.query(tenant_id=tenant.tenant_id, id=id):
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                    break
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            else:
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                return get_json_result(
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                    data=False, message='Only owner of dialog authorized for this operation.',
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                    code=RetCode.OPERATING_ERROR)
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            dialog_list.append({"id": id,"status":StatusEnum.INVALID.value})
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        DialogService.update_many_by_id(dialog_list)
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        return get_json_result(data=True)
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    except Exception as e:
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        return server_error_response(e)
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